Speaker & Panelist Profiles

David C. Rhew, MD

Global Chief Medical Officer (CMO) and VP of Healthcare for Microsoft

As Global Chief Medical Officer & VP of Healthcare, David has served as Microsoft’s International Coordinator for the Pandemic Response, working with WHO to develop their World Health Data Hub, CDC to standup their vaccine data lake, and U.S. states to roll-out COVID-19 vaccines. 

He is Adjunct Professor at Stanford University; holds six U.S. technology patents that enable authoring, mapping, and integration of clinical decision support into electronic health records; and has been recognized as one of the 100 most influential persons by Modern Healthcare.

He has served as CMO for Samsung and Zynx Health and has sat on National Quality Forum’s Executive CSAC Board. He is Chair-emeritus for Consumer Technology Association’s Health Technology Board and serves on the following Executive/Advisory Boards: AdvaMed’s Digital Health, NESTcc (medical device advisory for FDA, CMS, & NIH), Cedars-Sinai Medical Center, M42 (UAE), and AI advisor to the city of New York. 

Piotr Slomka, PhD

Director of Innovation in Imaging and a Professor of Medicine and Cardiology at Cedars-Sinai's Division of Artificial Intelligence in Medicine

His lab is at the forefront of developing advanced AI and image processing methods to transform cardiac imaging. By leveraging a wide range of imaging modalities, Dr. Slomka's team aims to automate analyses, enhance diagnostic accuracy for cardiovascular diseases, and predict critical events such as heart attacks through the integration of computer science innovations with clinical insights.

He has a sustained track record of scientific productivity (over 550 peer-reviewed publications and book chapters to date), which has led to significant innovations now applied in research and clinical settings globally. Dr. Slomka spearheaded two largest cardiac imaging registries for SPECT and PET/CT to date (with over 50,000 cases) through multi-institutional collaboration involving more than 20 sites.

William Hsu, PhD 

Professor of Radiological Sciences and Bioengineering at the University of California, Los Angeles

He is a biomedical informatician focused on maximizing the utility of multimodal data to detect and treat cancers earlier. His lab harnesses artificial intelligence/machine learning techniques to integrate and transform multimodal data into actionable knowledge. 

He serves as principal investigator on grants from the National Institutes of Health, the Agency for Healthcare Research and Quality, and the V Foundation. He is a deputy editor of Radiology: Artificial Intelligence and serves on the Journal of the American Medical Informatics Association editorial board.

Corey Arnold, PhD

Professor and Vice Chair of Research, Radiology, UCLA

Professor, Pathology, Bioengineering, and Electrical & Computer Engineering, UCLA

Prof Arnold is the Vice Chair of Research in the UCLA Department of Radiological Sciences and holds joint appointments in the Departments of Pathology & Laboratory Medicine, Electrical & Computer Engineering, and Bioengineering. He leads the Biomedical AI Research (BAIR) Lab, a team that uses machine learning to improve healthcare. He completed his undergraduate training at the University of Wisconsin, Madison, and earned his PhD at UCLA.

David Ouyang, MD

Research Scientist at the Kaiser Permanente Northern California Division of Research

Non-Invasive Cardiologist and Echocardiographer at Kaiser Permanente Santa Clara Medical Center

As a physician-scientist and statistician with focus on cardiology and cardiovascular imaging, I work on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. As an echocardiographer, I work on applying deep learning for precision phenotyping in cardiac ultrasound and the deployment and clinical trials of AI models. I majored in statistics at Rice University, obtained my MD at UCSF, and received post-graduate medical education in internal medicine, cardiology, and a postdoc in computer science and biomedical data science at Stanford University. Our group works on multi-modal datasets, linking EHR, ECG, echo, and MRI data for a broad perspective on cardiovascular disease and have diverse backgrounds (ranging from physics, mechanical engineering, computer science to cardiology, anesthesia, and internal medicine).

Joann Elmore, MD, MPH

Rosalinde and Arthur Gilbert Foundation Endowed Chair in Health Care Delivery

Professor of Medicine at the David Geffen School of Medicine at UCLA

Professor of Health Policy and Management at the UCLA Fielding School of Public Health

Director of the UCLA National Clinician Scholars Program

She is an established investigator and national leader in the fields of epidemiology and cancer research. Her research portfolio spans cancer screening (e.g., skin and breast), diagnostic accuracy, physician variability, and AI/machine learning (computer image analyses and diagnostic aid tools for skin and breast pathology), and incorporates an important clinical perspective to the evaluation of medical screening. Her pivotal research in cancer screening contains notable, and practice-changing, publications in the NEJM, JAMA, and BMJ. Her research support includes continuous NIH funding for over 25 years and a long history of backing from major foundations, such as the Melanoma Research Alliance. Dr. Elmore previously held faculty and leadership positions at the University of Washington, Fred Hutchinson Cancer Research Center, Group Health Research Institute, Yale University and the Robert Wood Johnson Foundation Clinical Scholars program at Yale and the University of Washington. Dr. Elmore is board certified in internal medicine and serves on many national and international committees, as well as serving as Editor in Chief for Adult Primary Care at UpToDate.

Richard Leuchter, MD

Hospitalist-Researcher and UCLA Faculty Member

Dr. Leuchter joined UCLA Faculty in July 2022 after completing an NIH research training year in applied mathematics and machine learning. His research focuses on identifying low-value medical care (particularly in the acute care setting) and implementing interventions to reduce it. Dr. Leuchter has also obtained formal training in medical informatics and draws on this in his research by integrating his interventions into the Electronic Health Record (EHR) and leveraging principles of behavioral psychology to maximize their impact. His work has received numerous awards, coverage in the Los Angeles Times, and been published in journals such as the New England Journal of Medicine, Proceedings of the National Academy of Science, and Journal of the American Medical Informatics Association. Currently, he has an NHLBI K award to design ML models that can predict unnecessary hospitalizations, which form the basis for a hospital avoidance clinic (called Next Day Clinic) he launched and is evaluating in a clinical trial. Dr. Leuchter is a practicing hospitalist primarily at UCLA Health and Olive View, and holds a joint appointment at the West Los Angeles VA. He also serves as Co-Director of the UCLA Nudge Unit and Assistant Director of UCLA Healthcare Value Analytics and Solutions (UVAS).